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Design for networked learning: framing relations
between participants’ activities
and the physical setting
Peter Goodyear, Lucila Carvalho,
Centre for Research on Computer Supported Learning and Cognition (CoCo)
University of Sydney, lucila.carvalho@sydney.edu.au, peter.goodyear@sydney.edu.au
Nina Bonderup Dohn
Institute of Design and Communication, University of Southern Denmark,
nina@sdu.dk
Context & Credits
Learning, technology and design: architectures for
productive networked learning
Australian Research Council Laureate Fellowship
Peter Goodyear, David Ashe, Lucila Carvalho,
Martin Parisio, Paul Parker, Roberto Martinez-
Maldonado, Ana Pinto, Kate Thompson, Dewa
Wardak, Pippa Yeoman
Nina Bonderup Dohn, Yannis Dimitriadis,
Peter Sloep, Begoña Gros – visiting scholars
Context & Credits
Learning, technology and design: architectures for
productive networked learning
Australian Research Council Laureate Fellowship
Extracting reusable design ideas
(eg analysing learning networks)
Supporting design processes
(eg empirical studies of designers)
Networked learning & learning networks
• NL as learning with/through others; (much) interaction
through (digital) communications media
• Learning network as a stable instance of NL (stable enough to
warrant/allow analysis)
• Personal LNs are a subclass of LNs: but not our focus
• Not just the people but also the tools & other artefacts,
practices, tasks-activities, roles, divisions of labour etc:
heterogeneous
• Designed and emergent: alive
The physical: artefacts, tools, places etc
Physical: material and digital and hybrids
The materialist turn isn’t yet very good at the digital, or even at
materials per se
Artefacts, tasks, users & practices co-evolve
Analysis needs to be able to deal with single artefacts and
complex assemblages (ecologies of things; meshworks etc)
Analytical Framework
(Emergent) ActivityTasks
Artifacts, tools, texts, etc
Dyads, groups, teams; roles; divisions of labor
Physically Situated
Socially Situated
Outcomes
(Goodyear & Carvalho, 2014, p. 59)
Analytical Framework
(Emergent) ActivityTasks
Artifacts, tools, texts, etc
Dyads, groups, teams; roles; divisions of labor
Physically Situated
Socially Situated
Outcomes
(Goodyear & Carvalho, 2014, p. 59)
Goal-directed
action (intentions
formed in the mind
precede and direct
selection of tools,
actions etc)
Embodied cognition,
extended mind,
intermingling of
mind-body-world
(tool-using action
brings forth intention)
Analytical Framework
Metaphors for learning
Learning to participate involves understanding the properties of tools (etc);
incorporating them into your activities (instrumental genesis);
using them to create new tools
NL comes naturally
“Human-machine symbiosis, I believe, is
simply what comes naturally. It lies on a direct
continuum with clothes, cooking (‘external,
artificial digestion’), bricklaying and writing. The
capacity to creatively distribute labour across
biology and the designed environment is the
very signature of our species, and it implies no
real loss of control on our part. For who we are
is in large part a function of the webs of
surrounding structure in which the conscious
mind exercises at best a kind of gentle, indirect
control. ”
(Andy Clark, 2003, p174, emphasis added)
#1: Affordance, scaffolds and cognitive load
Affordance – what the environment offers the animal
Directly perceived; not dependent on mental processing
“the terms ‘afford’ and ‘affordance’ are lazy terms … these terms merely paper over
deep cracks in our understanding … of why, given the extraordinary interpretive
capabilities of humans, anything affords any one interpretation better than any
other … something hidden and mysterious is going on whenever the terms ‘afford’
and ‘affordance’ make their appearance”
Harry Collins (2010, 36) Tacit and explicit knowledge.
Crafting of
affordances
Design for interpretive
work
Primary, ‘fast’, system 1 X
Secondary, ‘slow’, system 2 X
#2: Affordance as relational
Case: Leading Curriculum Change (Ch6)
Title Title Title Title
Title Title Title Title
Title Title Title Title
Home page for module selection
#3 Materiality of boundary objects
Case: Leading Curriculum Change (Ch6)
H
T
Online course/project site
(professional learning site)
School site
(workplace/application site)
#4 Scale: the LN as city not classroom
Ana Pinto, AlphaPlus
Imagining design for learning
at the scale of
a museum, gallery, campus
rather than
a virtual classroom or course
module or collaboration tool or
single screen
Insights from geography, urban
studies, environmental psychology
Key points
Learning networks as objects of inquiry; analysis for design: looking for
reusable design ideas; architectural arrangements not standalone pieces
Activity-centric analysis: distinguishing between designable and emergent
elements (activity as emergent & key; design as indirect)
Connecting constructs: what constructs can be used to provide the design
logic linking physical entities to activity? Affordance? Plus what?
Consider the way we are framing both learning activity and the physical ‘stuff’
Take-away: most of what we care about in NL involves entanglements of
brains, bodies & things and we can’t understand this very well if we ignore
the peculiar qualities of things and of people:
materials (not just materiality & abstraction)
brain science, grounded cognition (not just minds & introspection)
Further reading: connecting physical setting to human activity
Overdijk, M., Diggelen, W., Kirschner, P. & Baker, M. (2012) Connecting agents and artifacts in CSCL:
Towards a rationale of mutual shaping. International Journal of Computer-Supported Collaborative
Learning, 7, 193-210.
Affordances
Structuration
Instrumental genesis
Lonchamp, J. (2012) An instrumental perspective on CSCL systems. International Journal of
Computer-Supported Collaborative Learning, 7, 211-237.
Ritella, G. & Hakkarainen, K. (2012) Instrumental genesis in technology-mediated learning: From
double stimulation to expansive knowledge practices. International Journal of Computer-
Supported Collaborative Learning, 7, 239-258.
special issue of iJCSCL
Further reading: connecting physical setting to human activity
Malafouris, L. & Renfrew, C. (Eds.) (2010) The cognitive life of things: Recasting the boundaries of
the mind, Cambridge, McDonald Institute for Archaeological Research, University of Cambridge.
Malafouris, L. (2013) How things shape the mind: A theory of material engagement, Cambridge,
MA, MIT Press.
Ingold, T. (2011) Being alive: Essays on movement, knowledge and description, Abingdon,
Routledge.
Clark, A. (2008) Supersizing the mind: Embodiment, action, and cognitive extension, Oxford, Oxford
University Press.
Clark, A. (2003) Natural-born cyborgs: Minds, technologies, and the future of human intelligence,
Oxford, Oxford University Press.
Sterelny, K. (2012) The evolved apprentice: How evolution made humans unique, Cambridge MA,
MIT Press.
Sterelny, K. (2003) Thought in a hostile world: The evolution of human cognition, Oxford, Blackwell.
Kirsh, D. (2013) Embodied cognition and the magical future of interaction design. ACM Trans.
Comput.-Hum. Interact. 20, 1-30.
Thanks & Contacts
Peter Goodyear, Lucila Carvalho,
Centre for Research on Computer Supported Learning and Cognition (CoCo)
University of Sydney, Australia
peter.goodyear@sydney.edu.au lucila.carvalho@sydney.edu.au
Nina Bonderup Dohn
Institute of Design and Communication, University of Southern Denmark,
nina@sdu.dk
Next book: Place-based spaces for networked learning
If interested, talk to Lucila or Peter

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Design for networked learning: framing relations between participants’ activities

  • 1. Design for networked learning: framing relations between participants’ activities and the physical setting Peter Goodyear, Lucila Carvalho, Centre for Research on Computer Supported Learning and Cognition (CoCo) University of Sydney, lucila.carvalho@sydney.edu.au, peter.goodyear@sydney.edu.au Nina Bonderup Dohn Institute of Design and Communication, University of Southern Denmark, nina@sdu.dk
  • 2. Context & Credits Learning, technology and design: architectures for productive networked learning Australian Research Council Laureate Fellowship Peter Goodyear, David Ashe, Lucila Carvalho, Martin Parisio, Paul Parker, Roberto Martinez- Maldonado, Ana Pinto, Kate Thompson, Dewa Wardak, Pippa Yeoman Nina Bonderup Dohn, Yannis Dimitriadis, Peter Sloep, Begoña Gros – visiting scholars
  • 3. Context & Credits Learning, technology and design: architectures for productive networked learning Australian Research Council Laureate Fellowship Extracting reusable design ideas (eg analysing learning networks) Supporting design processes (eg empirical studies of designers)
  • 4. Networked learning & learning networks • NL as learning with/through others; (much) interaction through (digital) communications media • Learning network as a stable instance of NL (stable enough to warrant/allow analysis) • Personal LNs are a subclass of LNs: but not our focus • Not just the people but also the tools & other artefacts, practices, tasks-activities, roles, divisions of labour etc: heterogeneous • Designed and emergent: alive
  • 5. The physical: artefacts, tools, places etc Physical: material and digital and hybrids The materialist turn isn’t yet very good at the digital, or even at materials per se Artefacts, tasks, users & practices co-evolve Analysis needs to be able to deal with single artefacts and complex assemblages (ecologies of things; meshworks etc)
  • 6. Analytical Framework (Emergent) ActivityTasks Artifacts, tools, texts, etc Dyads, groups, teams; roles; divisions of labor Physically Situated Socially Situated Outcomes (Goodyear & Carvalho, 2014, p. 59)
  • 7. Analytical Framework (Emergent) ActivityTasks Artifacts, tools, texts, etc Dyads, groups, teams; roles; divisions of labor Physically Situated Socially Situated Outcomes (Goodyear & Carvalho, 2014, p. 59) Goal-directed action (intentions formed in the mind precede and direct selection of tools, actions etc) Embodied cognition, extended mind, intermingling of mind-body-world (tool-using action brings forth intention)
  • 8. Analytical Framework Metaphors for learning Learning to participate involves understanding the properties of tools (etc); incorporating them into your activities (instrumental genesis); using them to create new tools
  • 9. NL comes naturally “Human-machine symbiosis, I believe, is simply what comes naturally. It lies on a direct continuum with clothes, cooking (‘external, artificial digestion’), bricklaying and writing. The capacity to creatively distribute labour across biology and the designed environment is the very signature of our species, and it implies no real loss of control on our part. For who we are is in large part a function of the webs of surrounding structure in which the conscious mind exercises at best a kind of gentle, indirect control. ” (Andy Clark, 2003, p174, emphasis added)
  • 10. #1: Affordance, scaffolds and cognitive load Affordance – what the environment offers the animal Directly perceived; not dependent on mental processing “the terms ‘afford’ and ‘affordance’ are lazy terms … these terms merely paper over deep cracks in our understanding … of why, given the extraordinary interpretive capabilities of humans, anything affords any one interpretation better than any other … something hidden and mysterious is going on whenever the terms ‘afford’ and ‘affordance’ make their appearance” Harry Collins (2010, 36) Tacit and explicit knowledge. Crafting of affordances Design for interpretive work Primary, ‘fast’, system 1 X Secondary, ‘slow’, system 2 X
  • 11. #2: Affordance as relational Case: Leading Curriculum Change (Ch6) Title Title Title Title Title Title Title Title Title Title Title Title Home page for module selection
  • 12. #3 Materiality of boundary objects Case: Leading Curriculum Change (Ch6) H T Online course/project site (professional learning site) School site (workplace/application site)
  • 13. #4 Scale: the LN as city not classroom Ana Pinto, AlphaPlus Imagining design for learning at the scale of a museum, gallery, campus rather than a virtual classroom or course module or collaboration tool or single screen Insights from geography, urban studies, environmental psychology
  • 14. Key points Learning networks as objects of inquiry; analysis for design: looking for reusable design ideas; architectural arrangements not standalone pieces Activity-centric analysis: distinguishing between designable and emergent elements (activity as emergent & key; design as indirect) Connecting constructs: what constructs can be used to provide the design logic linking physical entities to activity? Affordance? Plus what? Consider the way we are framing both learning activity and the physical ‘stuff’ Take-away: most of what we care about in NL involves entanglements of brains, bodies & things and we can’t understand this very well if we ignore the peculiar qualities of things and of people: materials (not just materiality & abstraction) brain science, grounded cognition (not just minds & introspection)
  • 15. Further reading: connecting physical setting to human activity Overdijk, M., Diggelen, W., Kirschner, P. & Baker, M. (2012) Connecting agents and artifacts in CSCL: Towards a rationale of mutual shaping. International Journal of Computer-Supported Collaborative Learning, 7, 193-210. Affordances Structuration Instrumental genesis Lonchamp, J. (2012) An instrumental perspective on CSCL systems. International Journal of Computer-Supported Collaborative Learning, 7, 211-237. Ritella, G. & Hakkarainen, K. (2012) Instrumental genesis in technology-mediated learning: From double stimulation to expansive knowledge practices. International Journal of Computer- Supported Collaborative Learning, 7, 239-258. special issue of iJCSCL
  • 16. Further reading: connecting physical setting to human activity Malafouris, L. & Renfrew, C. (Eds.) (2010) The cognitive life of things: Recasting the boundaries of the mind, Cambridge, McDonald Institute for Archaeological Research, University of Cambridge. Malafouris, L. (2013) How things shape the mind: A theory of material engagement, Cambridge, MA, MIT Press. Ingold, T. (2011) Being alive: Essays on movement, knowledge and description, Abingdon, Routledge. Clark, A. (2008) Supersizing the mind: Embodiment, action, and cognitive extension, Oxford, Oxford University Press. Clark, A. (2003) Natural-born cyborgs: Minds, technologies, and the future of human intelligence, Oxford, Oxford University Press. Sterelny, K. (2012) The evolved apprentice: How evolution made humans unique, Cambridge MA, MIT Press. Sterelny, K. (2003) Thought in a hostile world: The evolution of human cognition, Oxford, Blackwell. Kirsh, D. (2013) Embodied cognition and the magical future of interaction design. ACM Trans. Comput.-Hum. Interact. 20, 1-30.
  • 17. Thanks & Contacts Peter Goodyear, Lucila Carvalho, Centre for Research on Computer Supported Learning and Cognition (CoCo) University of Sydney, Australia peter.goodyear@sydney.edu.au lucila.carvalho@sydney.edu.au Nina Bonderup Dohn Institute of Design and Communication, University of Southern Denmark, nina@sdu.dk Next book: Place-based spaces for networked learning If interested, talk to Lucila or Peter